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07/06/2023
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
Patch classification models based on deep learning have been utilized in...
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12/09/2022
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting
In light of the COVID-19 pandemic, patients were required to manually in...
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09/17/2022
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts
Kratom (KT) typically exerts antidepressant (AD) effects. However, evalu...
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08/18/2022
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
Respiratory rate (RR) is an important biomarker as RR changes can reflec...
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08/17/2022
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity
Brain biometrics based on electroencephalography (EEG) have been used in...
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07/25/2022
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
While there have been increased researches using deep learning technique...
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06/18/2021
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result
Supervised deep convolutional neural networks (DCNNs) are currently one ...
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03/05/2021
A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features
Dementia is one of the main causes of cognitive decline. Since the major...
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01/30/2021
Revealing Preference in Popular Music Through Familiarity and Brain Response
Music preference was reported as a factor, which could elicit innermost ...
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04/08/2020
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Objective: Identifying bio-signals based-sleep stages requires time-cons...
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04/07/2020
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
Event-related desynchronization and synchronization (ERD/S) and movement...
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08/23/2019
A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging
The application of deep learning to single-photon emission computed tomo...
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10/10/2018
EDOSE: Emotion Datasets from Open Source EEG with a Real-Time Bracelet Sensor
This is the first concrete investigation of emotion recognition capabili...
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08/31/2018
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach
Since, cancer is curable when diagnosed at an early stage, lung cancer s...
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08/31/2018
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning
In this paper, the deep learning (DL) approach is applied to a joint tra...
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07/05/2018